Congratulations to Luodan Hu for publishing a paper in the well-known journal Advanced Functional Materials

Congratulations to Luodan Hu for publishing a journal paper entitled "Ultrasensitive Freestanding and Mechanically Durable Artificial Synapse with Attojoule Power Based on Na-Salt Doped Polymer for Biocompatible Neuromorphic Interface" in the international journal Advanced Functional Materials

IF：19.978

Article web link：https://doi.org/10.1039/d1mh01012c

Introduction to the article:

The high energy efficiency and parallel processing capabilities of the human brain shed light on the current dilemma of von Neumann memory separation. As one of the most important components of the human brain, synapses are inseparable from the realization of learning, memory and forgetting functions of the human brain, which lays the foundation for the use of electronic devices to simulate biological synapses and realize energy-saving neuromorphic computing. Furthermore, signal matching between biologically relevant stimuli and artificial synaptic driving voltages can help realize smart neuromorphic interfaces and sustainable energy. In this paper, ultrasensitive artificial synapses stimulated at 1 mV with an energy consumption of 132 attojoule/synaptic event are demonstrated. Biosignal matching is based on sodium acetate (NaAc)-doped polyvinyl alcohol (PVA) electrolyte while enabling low-power applications. Compared with monophasic synaptic behavior, biphasic currents containing both electrical and ion-mediated current components help to enrich synaptic function. In addition, the free-standing NaAc-doped PVA film serves as both a dielectric layer and a mechanical support, which facilitates flexible, transferable artificial synapses that maintain functional stability over time. Ultra-low voltage and power even after bend testing. Therefore, including excellent sensitivity, low energy, and multiple functions with flexibility, self-supporting, and biocompatibility, it is a step towards constructing energy-efficient, complex neuromorphic systems for wearable and implantable drugs.